基于向量自回归模型的软件可靠性评估与预测方法
Software Reliability Assessment and Prediction Method Based on Vector Autoregressive Model
DOI: 10.12677/AAM.2022.1110756, PDF,    国家自然科学基金支持
作者: 严 可, 冯宝凤：贵州大学数学与统计学院，贵州 贵阳；杨剑锋*：贵州大学数学与统计学院，贵州 贵阳；贵州理工学院大数据学院，贵州 贵阳
关键词: 软件可靠性；参数估计；向量自回归模型；故障相关性；Software Reliability； Parameter Estimation； Vector Autoregressive Model； Fault Correlation
摘要: 针对目前大多数软件可靠性模型未考虑故障相关性和参数估计求解较难的问题，本文提出了一种基于向量自回归模型的软件可靠性评估与预测方法，该模型考虑了软件各组件之间的相关性并利用组件的故障数据来进行建模。所提出的软件可靠性预测模型被应用于两个真实的软件故障数据集，实验结果表明，本文提出的基于向量自回归的软件可靠性预测模型效果更优。
Abstract: Aiming at the problem that most of the current software reliability models do not consider fault dependent and parameter estimation, this paper proposed a software reliability assessment and prediction method based on vector autoregressive model, which considers the correlation between software components and uses the component fault data for modeling. The proposed software relia-bility prediction model is applied to two real software project data sets. The experimental results show that the software reliability prediction model based on vector autoregression proposed in this paper is more effective.
文章引用：严可, 杨剑锋, 冯宝凤. 基于向量自回归模型的软件可靠性评估与预测方法[J]. 应用数学进展, 2022, 11(10): 7122-7134. https://doi.org/10.12677/AAM.2022.1110756

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